Engineering notes

Ideas, checks, and lessons
from engineering work.

Short technical notes on offshore structures, engineering automation, asset integrity, and the reasoning behind engineering decisions.

Published notes

Notes from engineering work.

Public learning notes on offshore structures, asset integrity, engineering automation, and maritime technology.

N.01Introductory note

Asset integrity

RBI and RLA Answer Different Questions

An introductory comparison of Risk-Based Inspection and Remaining-Life Assessment, including their objectives, inputs, outputs, relationship, and roles in asset-integrity decisions.

N.02Introductory note

Offshore Structures

Why Offshore Jacket Platforms Look the Way They Do

Offshore jackets are not shaped only by appearance or convention. Their battered legs, tubular members, bracing patterns, wide foundations, and tapered geometry reflect load paths, environmental exposure, fabrication constraints, installation requirements, and foundation behaviour.

N.03Introductory note

Maritime Technology

Where AI Actually Fits in Maritime Engineering

Artificial intelligence can help maritime professionals process data, identify patterns, support inspection, monitor assets, and improve operational decisions. Its value depends on data quality, traceability, system boundaries, human oversight, and a clear understanding of what the model cannot decide.

Upcoming notes

Work in progress,
shown honestly.

These topics are being developed. Their separation reflects publication state, not importance; dates and reading-time estimates appear when each article is ready.

N.04In progress

Automation

Why Validation Matters in Engineering Automation

How engineering judgment, independent checks, and reviewable evidence can remain visible inside automated workflows.

N.05In progress

Asset integrity

Understanding Splash-Zone Corrosion

Exposure, wetting cycles, protective systems, inspection context, and the careful interpretation of corrosion evidence.

N.06In progress

Technical reporting

From Structural Model to Defensible Engineering Report

A framework for connecting modelling assumptions, solver evidence, validation, interpretation, and stated limitations.